Summary
Drew Gibson is an Investment Data Scientist in Austin with a decade of experience turning large-scale data and machine learning into measurable business value across finance and technology. He specializes in PySpark pipelines for multi-terabyte datasets and practical AI—building firm-wide Python libraries, LLM agents, and vector search tools that shorten research cycles and improve forecast accuracy for hedge fund and private equity clients. Drew blends product ownership with technical delivery, having launched analytics platforms, led cross-functional teams, and standardized processes that saved six-figure annual costs. His work repeatedly focuses on production readiness—rigorous test suites (1,200+ tests, 98% coverage), reproducible pipelines, and deployment at scale—rather than prototypes alone. Notably, he pairs early product management and M&A experience with hands-on engineering, giving him a rare ability to align strategy, commercial outcomes, and code-level execution.
10 years of coding experience
10 years of employment as a software developer
Bachelor’s Degree Management Concentrations: Information Systems and Finance; Computer Science Minor, Bachelor’s Degree Management Concentrations: Information Systems and Finance; Computer Science Minor at Boston College Carroll School of Management
High School, High School at The Bolles School
English, Spanish